Data Scientist - Skunkworks

over 2 years ago
Full time role
Remote · San Francisco, CA, US... more
Remote · San Francisco, CA, US... more

Job Description

StreetLight Data, the pioneer in Big Data for mobility, is revolutionizing transportation and urban planning to help the world better deploy infrastructure and adapt to new forms of mobility. From legacy systems to ride sharing and bike sharing to autonomous vehicles, our platform powers 6,000+ mobility projects every month for government and private clients, and we're just getting started.

StreetLight Data is launching a special early stage product team that will do early market, product, and algorithmic/data science research and development, including mockups, trials, and pilots. This small team, reporting directly to the CEO, will help push StreetLight and transportation data and industry to the next generation of tools, use cases, and smart policy making and transportation systems. We are looking for a creative, collaborative, and self-driven data scientist with excellent data visualization skills, to power this work.

This position requires strong data science and structuring skills as well as a strong ability to design visualizations and dashboards that convey insights from data. This job reports to the PM of early stage products and will collaborate heavily with other data scientists at StreetLight as well as the CEO.

Location: We are flexible on the location of this position - it could be in any one of our three offices (San Francisco, CA, Richmond, VA, or Vancouver, BC) - or remote with the US or Canada.

Key Responsibilities

  • Design algorithms to infer key transportation patterns from various data sources, both StreetLight’s own data and metrics as well as third party data.
  • Collaborate with the PM of Skunkworks to turn high-level specifications into clean, accurate analytics and collaborate to convey them via mock-ups, using third party data visualization tools like Tableau / Looker / Etc.
  • Collaborate with the PM of Skunkworks and teammates to share insights about what could be learned from this data, to help them look for applications.
  • Research academic and other third party sources to design methods to create validation reports for new metrics. This includes developing expertise with important public data sets such as the census, NHTS, economic survey, ACS, etc.
  • Keep excellent documentation of code and research, to facilitate handing off to productization teams when applicable
  • Research and implement suitable strategies (from neural networks to a simple SQL filter, if that’s more actionable) for solving data science problems
  • Find and build real-world data sets for training various models and doing quality checks
  • Define and implement customized and/or cutting-edge solutions with pilot customers

Qualification & Skills

  • BS / MS in Mathematics, Science, Computer Science, Engineering, or a similar discipline
  • Deep (5+ years) expertise and experience in exploratory data analysis and statistics, using tools such as R,  Python, and PostgreSQL
  • Deep (5+ years) expertise and skills in data visualization and business intelligence tools such as Tableau, Looker, PowerBI, Tellius, Sisence, or Thoughtspot, etc.
  • 2+ years of experience in SQL and relational databases (PostgreSQL preferred), and good understanding of relational concepts
  • Experience working with very large datasets in a SQL environment
  • Basic understanding of techniques in data science (machine learning algorithms, forecasting, regression analysis, etc.)
  • Strong data analysis skills, knowing what can / cannot be possible
  • Strong data visualization and data story-telling skills, including ability to visualize data in the best way possible
  • Good communication skills - written, visual (presentations), and verbal
  • Ability to deliver adequate results on deadline, and make compromises to enable scalability and productization of algorithms
  • Geospatial skills are a big plus
  • Knowledge of transportation data / industry is a plus
  • Quick learner, ability to self-direct, and a strong team player
StreetLight Data is an equal opportunity/affirmative action employer. StreetLight Data provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.

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